主办:陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊:1976年

汽车实用技术 ›› 2024, Vol. 49 ›› Issue (5): 14-18.DOI: 10.16638/j.cnki.1671-7988.2024.005.003

• 新能源汽车 • 上一篇    

基于 AI 的电驱动系统的未来趋势与展望

罗 锋,龚循飞,邓建明,廖程亮,于 勤,樊华春,张 萍   

  1. 江西五十铃汽车有限公司 产品开发技术中心
  • 发布日期:2024-03-14
  • 通讯作者: 罗 锋
  • 作者简介:罗锋(1985-),男,工程师,研究方向为新能源汽车电驱动系统开发,E-mail:feng19850811ab@163.com。

The Future Trend and Prospect of Electric Drive System Based on AI

LUO Feng, GONG Xunfei, DENG Jianming, LIAO Chengliang, YU Qin, FAN Huachun, ZHANG Ping   

  1. Product Development Technology Center, Jiangxi Isuzu Motors Company Limited
  • Published:2024-03-14
  • Contact: LUO Feng

摘要: 文章针对电驱系统的未来发展趋势与展望问题,基于人工智能(AI)进行了系统性的 分析和研究。文章分析了电驱系统的市场需求与技术创新,分析了电驱系统的技术前景,从 电机类型、控制策略、故障诊断等方面,探讨了未来技术发展和关键技术,并给出了基于 AI 的方法和建议。通过两个案例研究,介绍了基于深度学习和神经网络的两种电机控制系统, 并进行了实验台测试,验证了系统性能和优势。文章还分析了基于 AI 的电驱系统的政策环境 和标准制定,并预测了未来几年内的发展趋势。结果表明,AI 在未来电驱系统中的应用价值 和发展潜力巨大,是未来技术发展的一个趋势,为相关领域的研究者和工程师提供了一些参 考和启示。

关键词: 新能源汽车;电驱动系统;人工智能;技术创新;案例研究

Abstract: In this paper, the future development trend and prospect of electric drive system are systematically analyzed and studied based on artificial intelligence (AI). This paper analyzes the market demand and technological innovation of the electric drive system, analyzes the technical prospect of the electric drive system, discusses the future technological development and key technologies from the aspects of motor type, control strategy, fault diagnosis, etc., and gives the methods and suggestions based on AI. Through two case studies, two kinds of motor control systems based on deep learning and neural network are introduced, and experimental bench tests are carried out to verify the system performance and advantages. The article also analyzes the policy environment and standard setting based on AI electric drive systems, and predicts the development trends in the next few years. The results show that the application value and development potential of AI in the future electric drive system is huge, and it is a trend of future technology development, which provides some references and enlightenment for researchers and engineers in related fields.

Key words: New energy vehicle; Electric drive system; Artificial intelligence; Technological innovation; Case study